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» On Fitting Mixture Models
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ECCV
2004
Springer
15 years 9 months ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
ASPDAC
2008
ACM
200views Hardware» more  ASPDAC 2008»
15 years 6 months ago
Non-Gaussian statistical timing analysis using second-order polynomial fitting
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
Lerong Cheng, Jinjun Xiong, Lei He
INFORMATICALT
2000
79views more  INFORMATICALT 2000»
15 years 4 months ago
Influence of Projection Pursuit on Classification Errors: Computer Simulation Results
Abstract. Influence of projection pursuit on classification errors and estimates of a posteriori probabilities from the sample is considered. Observed random variable is supposed t...
Gintautas Jakimauskas, Ricardas Krikstolaitis
INFOCOM
2010
IEEE
15 years 2 months ago
First-Fit Scheduling for Beaconing in Multihop Wireless Networks
—Beaconing is a primitive communication task in which every node locally broadcasts a packet to all its neighbors within a fixed distance. Assume that all communications proceed...
Peng-Jun Wan, Zhu Wang, Hongwei Du, Scott C.-H. Hu...
ICASSP
2009
IEEE
15 years 11 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky